Feature Point Descriptors: Infrared and Visible Spectra
Pablo Ricaurte, Carmen Chilán, Cristhian A. Aguilera-Carrasco and 2 more
Sensors · 2014
doi:10.3390/s140203690 (opens in a new tab)
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Abstract
This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given.
Abstract licence: CC BY
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